International Journal of Research and Analysis in Science and Engineering
Web: https://www.iarj.in/index.php/ijrase/index
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Impact of using AI in Manufacturing Industries
Dr. Sanjeev Reddy K. Hudgikar
Professor,Mechanical Engineering Department, Sharanabasva University, Kalaburagi, Karnataka, India.
ABSTRACT
Science and engineering, computer science, biology, psychology, linguistics, and mathematics are the foundations of artificial intelligence. The future lies with AI. The goal of AI is just to make life easier. AI (AI) has an opportunity for addressing many of the issues that currently and in the future we face. The popularity of industrial AI has risen recently for a few reasons. Our daily lives are already being impacted by the latest developments in artificial intelligence. Despite being in its early stages, the technology has already demonstrated the ability to beat humans in intelligence (see DeepMind's AlphaGo, for example), suggesting enormous promise for its wider use across a range of industrial areas.
In the goal of revolutionizing the manufacturing sites, this overview attempts to condense some of the significant advancements made using artificial intelligence in some of the most significant and profitable manufacturing businesses. We'll talk about in this paper. The effects of AI on the manufacturing sector.
KEYWORDS:
Manufacturing Industries, Artificial intelligence, development, sectors, transforming, machine learning, deep learning, mechanical, electrical, digital technologies, Machines.
Introduction:
Machine learning and deep learning are becoming as common technology that any company can use, meaning that artificial intelligence (AI) is no longer only a domain reserved for scholarly research. Numerous industries, particularly manufacturing, may be significantly impacted by this. AI's effects on manufacturing could see the start of a completely new phase in industrial growth. Digital, mechanical, and electrical technologies, in that order, were the catalysts for the first three industrial revolutions. It's just like raising a newborn child—AI's cognitive development is a process. But this consciousness is different because it lacks a physical framework. A data server lab or a robot with a brain structure resembling that of a human might function as the physical structure. [1]
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Industry 4.0 is now being pursued mostly using artificial intelligence (AI). AI is one of the information retrieval and analysis approaches that has grown at a quick pace over the past few years due to the Internet-of-Things (IoT) and the collection of big data. The development of intelligent and automated manufacturing facilities, or "smart factories," is being fueled by the growing sophistication of methods for handling massive amounts of data, which has the potential to completely transform a number of manufacturing industry sectors. [2]
Through its revolutionary authority, artificial intelligence is redefining the manufacturing industry. Large manufacturing businesses are using AI to improve productivity, accuracy, and efficiency in a variety of processes. A wide range of use cases, including demand forecasting, supply chain optimization, quality control, and predictive maintenance, are covered by the application of AI in manufacturing, which offers a revolutionary approach to conventional procedures. Adopting AI is now a strategic step for firms to modernize operations and maintain an advantage in a competitive market. [3]
Manufacturing
AI has the power to completely change the manufacturing sector by increasing quality control, decreasing downtime, and increasing production efficiency. Predictive maintenance is one area in which AI is being applied in manufacturing. AI systems are able to forecast when maintenance is required by analyzing sensor data from manufacturing equipment. This can increase production efficiency and decrease downtime. [4]
Benefits of Artificial Intelligence in Today’s Manufacturing
Artificial intelligence is starting to be used in manufacturing on a global scale. Among its main advantages are advancements in:
• Productivity
• Efficiency
• Safety
• Reaching Goals
• Ultimate Success
Improved performance, shortened product cycle times, and greater cost control are other significant advantages.
As a result of machines operating beyond their scheduled hours during production, manufacturing expenses are reduced overall. As opposed to workers who miss workdays for a variety of reasons, AI is always available.
Manufacturing Technology Insights predicts that when employees retire, AI will record their information while they work. Workers will rely on artificial intelligence (AI) in the future to enhance their professions through automated robotic procedures for repetitive chores.
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Human-machine learning and collaboration are made possible by artificial intelligence. By working together, they will improve estimates, lessen human error, monitor quality control, and find quicker and more effective solutions to challenging issues.
To increase productivity, several companies are spending more to construct intelligent factories. In the manufacturing sector, artificial intelligence (AI) offers personnel cost reductions, less unplanned downtime, fewer product failures, and faster, more accurate production. AI will be used in production more and more as people become aware of Industry 4.0. 15% of firms currently utilize AI, and 31% intend to put intelligent systems in place, according to Microsoft. The industrial industry now has a greater need for AI due to Industry 4.0's major advances in technology. [5]
Automation with AI:
Robotic automation is one of the main applications of AI in industry. While AI-powered robots are capable of learning and adapting on the go, traditional robots are preprogrammed to carry out specific duties. They are able to accomplish more and deal with unanticipated events in a more effective way as a consequence.
Assembling a product is one task that an AI-powered robot might be assigned. Its sensors and other data inputs allow it to detect deviations from the desired result while it completes the work. It can modify its movements and attempt alternative approaches until it finishes the task if it senses that a part is not fitting correctly. Robots driven by AI have the capacity to learn and adapt, as well as to operate continuously without the need for breaks. As a result, a manufacturer's output can be greatly increased through continuous production. In their current operations, 77% of manufacturers use robotics, and 17% expect to do so in the near future, according to a recent National Association of Manufacturers poll. This suggests a significant trend in the use of AI-powered robots in production.
The Affect AI in the Manufacturing Industry:
Innovative technologies have always found a home in the manufacturing sector. Since the 1960s, industrial robots and drones have been a component of the manufacturing sector.
The next wave of automation is almost upon us. If AI is used by firms to save costs and maintain lean inventories, there's a good chance the manufacturing sector will experience a transformation. That being said, the manufacturing industry needs to get ready for well- organized manufacturing facilities where the supply chain, design team, production line, and quality control are all closely synchronized to form a sophisticated engine that generates significant knowledge insights.
The Trends of Manufacturing Industry with Emerging AI:
AI will affect manufacturing in ways that we haven't yet foreseen. However, we are already able to examine a few more prominent instances. Quality assurance has long benefited from the ongoing advancements in computer visualization, which allow for the real-time detection of product flaws. However, AI and computer vision can rationalize how information is collected because manufacturing requires more information than ever before,
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combined with the reality that plant managers do not want to pay personnel to enter information. A factory employee should be able to pick up a reserve of raw materials from the shelf and have the stock transaction generated automatically while a camera records the operation. This will be the default user interface; it will just perform the task at hand rather than requiring input or scanning into a system. AI will also have an impact on the Internet of Things (IoT). The Internet of Things will make it possible to provide goods and services to clients who might not realize they are needed. IoT may also provide producers and distributors with detailed telemetry to examine quality and potential failure causes. IoT, to put it briefly, is an internal information tsunami that AI can process and learn from. This will make augmented generative design techniques easier to implement, allowing for the reimagining of things in ways that are closer to evolution. [6]
Review of Literature:
The importance of AI, the need for a detailed plan, and the need for careful investment in this field. To truly understand AI's impact on the upcoming Industry 4.0, a new generation of industrial systems, rigorous AI development and application are essential. AI is starting to emerge from science fiction as the next big thing in technology. With the use of artificial intelligence (AI), enterprises can now investigate a wide range of topics related to intelligence and decision-making modeling. With the use of industrial AI, engineers can create and implement AI algorithms more successfully and efficiently. The sum of your workers' behavior at work and their proficiency in doing the tasks you provide them is known as employee performance. Your organization frequently sets performance targets for individual employees as well as the entire organization in order to run your business efficiently, reduce waste, and provide clients with high value (Praveen, 2021). Artificial intelligence (AI) is a generally multifaceted field that includes both the comparison of human intelligence and a device that has been given artificial intelligence (AI) capabilities, as well as theory and practice that are exclusively focused on the creation of systems. [7].
The growing integration of sensors and the Internet of things (IoT), the availability of more data, and advancements in robotics and automation are causing a significant period of innovation and change in the manufacturing sector. As a result, the factory becomes increasingly digitalized, which forces manufacturing companies to reconsider, reexamine, and reevaluate their current business practices as well as their long-term strategic goals in the context of Industry 4.0 and Smart Manufacturing. The main goal of this article is to explore how artificial intelligence (AI) can be instrumental in bringing these opportunities to reality and propelling the manufacturing industry forward in a way that is fundamentally different from what it has been in the past. These developments make up a vision of manufacturing in the future. Machine learning (ML) is one of the approaches that have been gradually developed over many decades to support the application of AI in modern manufacturing (Wang, L., 2019). [8]
Objectives:
• The purpose of manufacturing objectives and goals is to increase a company's profitability
• The objectives of the manufacturing industry are related to quality, safety, vendor selection, efficiency, and costs.
• Important Statistical Information of AI in Different Sectors
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Research Methodology:
This study was exploratory in its general design. The research paper is an endeavor that draws upon secondary data that was obtained from reliable sources, including articles, textbooks, newspapers, and the internet. The research design of the study is essentially descriptive.
Result and Discussion:
Impact of AI on the Manufacturing Industry:
AI is essential to the manufacturing sector's efforts to increase output, effectiveness, and decision-making capabilities. By evaluating equipment data to foresee potential failures, AI-driven predictive maintenance is used in production to improve maintenance schedules and decrease downtime. Machine learning algorithms improve the efficiency of supply chain management by controlling inventories, estimating demand, and streamlining logistics. Automation in assembly lines is made possible by robotics and AI, which improves speed and accuracy while adjusting to shifting production needs. AI-powered QC systems detect errors more precisely, ensuring consistency in the finished product. In order to optimize efficiency and minimize waste, it is also utilized in smart manufacturing to monitor operations in real-time and make quick modifications. A subset of AI called reinforcement learning can optimize the production of electrical devices by constantly modifying machine parameters in smart manufacturing. By means of ongoing learning and adjustment, the system optimizes output, reduces mistakes, and improves resource allocation, resulting in increased profitability and a competitive advantage. AI generally improves overall operational performance, reduces costs, and stimulates innovation in the manufacturing sector. [9]
Figure 1: AI changes the manufacturing environment by fostering innovation, cutting expenses, and improving overall operational performance
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AI impact on Manufacturing:
In the manufacturing industry, artificial intelligence can be quite beneficial. AI can automate preventive maintenance and produce higher-quality, more productive products with fewer errors.
Production processes would be linked in the future's smart factories, and artificial intelligence (AI) solutions would play a key role in connecting the devices, interfaces, and parts (using, for example, visual recognition).
AI appliances would be equipped with vast amounts of data, which would be gathered and used to optimize the manufacturing process.
AI impact on industries of Asia:
Figure 2: AI impact on industries of Asia [10]
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AI patents worldwide, 2000–2015 [11]:
Figure 3: AI patents worldwide, 2000–2015
Economic potential of AI:
Most studies highlight the fact that AI will have a big economic impact. By 2035, artificial intelligence (AI) may quadruple the rates of yearly global economic growth, according to research released by the consulting firm Accenture and encompassing 12 industrialized economies.
According to a PricewaterhouseCoopers (PWC) report, the speeding up of AI development and adoption might boost the world GDP by up to 14%, or US$15.7 trillion, by 2030. [12]
Some Important Statistical Information of AI in Different Sectors:
AI technologies are expected to increase in production by 40% or more by 2035.
By 2035, AI will increase economic growth in 16 industries by an average of 1.7%.
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Figure 4: Statistical Information of AI in Different Sectors [13]
Great Value Added in 2035 for with respect to the Manufacturing sector:
Figure 5: Great Value Added in 2035 Manufacturing sector [14]
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Conclusion:
To make current goods and services safer, more dependable, efficient, and long-lasting, industrial AI can be integrated into them. Artificial Intelligence has revolutionized the extent and velocity of automation. The performance and capabilities of traditional AI applications are increased by AI technologies. The cooperative robots are one example.
Collaborative robotic arms are capable of learning the same task as human operators and replicating their motion and course. The procedure that formerly required human involvement is also automated by AI. Advocates of artificial intelligence assert that the technology is only a development of automation, a foreseeable outcome of the Fourth Industrial Revolution. In terms of creation, improvement, and cost-effectiveness, AI might be effective.
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